Triple
T11003312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation |
E260052
|
entity |
| Predicate | firstAuthor |
P12787
|
FINISHED |
| Object | Kyunghyun Cho |
E899025
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kyunghyun Cho | Statement: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, firstAuthor, Kyunghyun Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyunghyun Cho Context triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, firstAuthor, Kyunghyun Cho]
-
A.
Kyunghyun Cho
chosen
Kyunghyun Cho is a computer scientist and professor known for his influential work in deep learning and neural machine translation, including early contributions to encoder–decoder architectures and attention mechanisms.
-
B.
Kwanghun Chung
Kwanghun Chung is a neuroscientist and bioengineer known for pioneering advanced tissue-clearing and imaging techniques that enable high-resolution, three-dimensional visualization of biological tissues.
-
C.
Jun-Ho Oh
Jun-Ho Oh is a South Korean roboticist best known for leading the development of the humanoid robot DRC-HUBO that won the DARPA Robotics Challenge.
-
D.
Yong-jun Jung
Yong-jun Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
-
E.
Chan-sung Jung
Chan-sung Jung, widely known as "The Korean Zombie," is a South Korean mixed martial artist recognized for his exciting fighting style and success in top MMA promotions like the UFC.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37486b23081909ad282397c50a913 |
completed | April 18, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:25 p.m.